Set leverage for a trading position. Higher leverage amplifies both profits and losses. Use with caution as it increases risk significantly.
AI agents invoke set_leverage to trigger actions in Bybit MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Setting leverage modifies the risk parameters of an active or future trading position on a financial exchange. While it doesn't directly move money, it changes how positions are margined and can cause liquidations, making it a high-severity Execute action that triggers an external operation on Bybit's trading infrastructure.
From the tool's definition 'Set leverage for a trading position. Higher leverage amplifies both profits and losses. Use with caution as it increases risk significantly.'
Documented attack patterns abuse exactly the kind of access set_leverage gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Bybit MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for set_leverage:
{
"version": "1",
"default": "deny",
"tools": {
"set_leverage": {
"limits": [
{
"counter": "set_leverage_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} set_leverage stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Set leverage for a trading position. Higher leverage amplifies both profits and losses. Use with caution as it increases risk significantly. It is categorised as a Execute tool in the Bybit MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Bybit MCP Server MCP server in PolicyLayer and add a rule for set_leverage: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Bybit MCP Server. Nothing to install.
set_leverage is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the set_leverage rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for set_leverage. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
set_leverage is provided by the Bybit MCP Server MCP server (bcusack/bybit-py-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Bybit MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
36 Bybit MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.